Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 674

The DOI matches its Crossref record.

Conformation-sensitive gel electrophoresis for rapid detection of single-base differences in double-stranded PCR products and DNA fragments: evidence for solvent-induced bends in DNA heteroduplexes.

Open access
Ganguly, A, Rock, M J, Prockop, D J·1993·Proceedings of the National Academy of Sciences

Abstract

Several techniques have recently been developed to detect single-base mismatches in DNA heteroduplexes that contain one strand of wild-type and one strand of mutated DNA. Here we tested the hypothesis that an appropriate system of mildly denaturing solvents can amplify the tendency of single-base mismatches to produce conformational changes, such as bends in the double helix, and thereby increase the differential migration of DNA heteroduplexes and homoduplexes during gel electrophoresis. The best separations of heteroduplexes and homoduplexes were obtained with a standard 6% polyacrylamide gel polymerized in 10% ethylene glycol/15% formamide/Tris-taurine buffer. As predicted by the hypothesis of solvent-induced bends, when the concentration of either ethylene glycol or formamide was increased, the differential migration decreased. Also, single-base mismatches within 50 bp of one end of a heteroduplex did not produce differential migration. Sixty of 68 single-base mismatches in a series of PCR products were detected in some 59 different sequence contexts. The eight mismatches not detected were either within 50 bp of the nearest end of the PCR product or in isolated high-melting-temperature domains. Therefore, it was possible to predict in advance the end regions and sequence contexts in which mismatches may be difficult to detect. The procedure can be applied to any PCR products of 200-800 bp and requires no special equipment or preparation of samples.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.90.21.10325

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

Metadata

Authors
Ganguly, A., Rock, M. J., & Prockop, D. J.
Venue
Proceedings of the National Academy of Sciences
Published
1993-11
Volume
90
Issue
21
Pages
10325-10329
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1994645387
Cited by
674
References
0
FWCI
5.37
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.